Triple

T9025859
Position Surface form Disambiguated ID Type / Status
Subject True Tone E216045 entity
Predicate featureOf P1094 FINISHED
Object macOS E6427 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: macOS | Statement: [True Tone, featureOf, macOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: macOS
Context triple: [True Tone, featureOf, macOS]
  • A. macOS chosen
    macOS is Apple’s proprietary Unix-based operating system known for its graphical user interface, tight integration with Apple hardware and services, and strong emphasis on usability and security.
  • B. Mac
    Mac is Apple’s line of personal computers known for their sleek hardware design and tight integration with the macOS operating system.
  • C. Mac
    Mac is the young, imaginative boy protagonist of the animated series "Foster's Home for Imaginary Friends," known for his close bond with his imaginary friend Bloo.
  • D. Mac
    Mac is a character associated with the Green Man, often depicted in folklore- or nature-themed narratives connected to this mythic figure.
  • E. Mac
    Mac is the nickname of Willie McCovey, the Hall of Fame Major League Baseball first baseman best known for his years with the San Francisco Giants.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a7ce71c81908041814dc9ec1713 completed April 1, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffd9bd544819083adf00db6a4a473 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:07 p.m.